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GSK

Principal - Forward Deployed Engineer

GSK is hiring a Principal - Forward Deployed Engineer for a remote role open to applicants in United States. It pays $205k-$342k a year and Level rates it ; you can apply on GSK.

Level's read on this job

  • Level rates this forward deployed engineer role Works on AI ●●●○: the daily work is on AI products, without building the model.
  • Pay on this posting starts 14% higher than the typical forward deployed engineer posting on Level.
  • This is listed as a remote role.
  • The posting mentions OpenAI, Claude and Anthropic among its tools and skills.
  • GSK has 942 other open roles on Level.

AI in this role

OpenAIClaudeAnthropicCopilotDatabricksClaude Code
prompt-engineeringragai-agentsfine-tuningml-opsai-evaluationai-safety

Business Introduction
GSK remains committed to achieving bold commercial ambitions for the future. By 2031, we aim to deliver £40 billion in annual sales, leveraging our existing strong performance momentum to significantly increase our positive impact on the health of billions of patients globally.


Our Ahead Together strategy is centered on early intervention to prevent and alter the course of disease, thereby protecting people and supporting healthcare systems. Our diverse portfolio consists of vaccines, specialty medicines, and general medicines. Through continuous innovation and a dedicated focus on scientific and technical excellence, we strive to develop and launch new, groundbreaking treatments that address critical health challenges.

Position Summary

GSK's Enterprise AI team builds AI solutions that prove value fast and scale to production. Forward Deployed Engineering is the front of the Enterprise AI delivery pipeline — proving AI ideas with the business through PoCs, PoVs, MVPs, and, where appropriate, first production versions, before handing proven solutions to Solutions Engineering for scale-up — bringing to GSK a model proven by AI-native companies such as Anthropic, Palantir, and OpenAI.


You will act as the most senior technical authority in the FDE function, operating at enterprise scope with two equal mandates: setting the standards for AI-native, enterprise-level development across GSK — architecture, agentic delivery-automation workflows, delivery bot meshes, evaluation, and governance — and owning FDE delivery outcomes for a defined portfolio of strategic business units.


This is a senior technical leadership role for someone who leads through technical credibility: staying hands-on at the frontier of AI-augmented engineering, leading Staff and Senior FDEs on the most consequential engagements and shaping how AI engineering is done well beyond the FDE team. As Enterprise AI scales, the value of each engagement increasingly depends on what it leaves behind: you will set standards from real delivery experience, prove them inside the business units that matter most, and serve as the escalation point for the hardest architecture, ML, and agentic-engineering decisions. Humans steer, agents execute.


Responsibilities

This role will provide YOU the opportunity to lead key activities to progress YOUR career. These responsibilities include some of the following:

  • Define and own enterprise-level development standards for AI solutions across GSK — reference architectures, agentic delivery-automation workflows, delivery bot meshes, evaluation frameworks, and handoff hygiene — adopted by FDE, Solutions Engineering, and Operations Engineering alike.
  • Set the enterprise technical direction for AI-native engineering, going well beyond vibe coding to establish how agentic workflows and delivery bot meshes are designed, secured, monitored, and reused at scale.
  • Own the enterprise pattern library and reference platform, ensuring reusable agents, prompt templates, MCP integrations, and reference architectures are good enough that teams across GSK adopt them without rework.
  • Chair FDE technical design review and contribute to Enterprise AI architecture governance, approving, challenging, or redirecting high-impact technical decisions.
  • Own FDE delivery for a defined portfolio of strategic business units — engagement pipeline, prioritization, quality, and outcomes from intake to clean handoff.
  • Lead the most complex, precedent-setting engagements personally, staying hands-on in problem framing, architecture, and prototype delivery.
  • Lead multi-FDE engagement teams, directing Staff, Senior, and Engineer-level FDEs across concurrent engagements within assigned business units.
  • Partner with Director and VP-level business unit leaders, shaping their AI roadmaps, qualifying the highest-value use cases, and making and defending kill/continue decisions with multi-year business consequences.
  • Act as the technical authority and escalation point for the FDE function on architecture, ML, data science, and agentic engineering.
  • Mentor and grow Staff and Senior FDEs, shaping the technical career path toward Principal and raising the technical bar of the function.
  • Calibrate the technical hiring bar — leading senior technical interviews and setting the standard for senior FDE hires.
  • Partner with Enterprise Architecture, Data Platforms, Cyber Security, and Tech functions, aligning FDE standards with enterprise platforms so prototypes are built to scale.
  • Influence vendor strategy and tooling choices, evaluating and shaping the adoption of AI models, agent frameworks, and developer tooling at enterprise scale.
  • Represent GSK's AI engineering practice externally through industry forums, partner relationships, and technical publications where appropriate.
  • Build governance in by design, embedding Code Orange, Responsible AI, and Accountability Report requirements into enterprise development standards so governance is part of every engagement, not bolted on.
  • Report to Enterprise AI leadership on standards adoption, business unit delivery outcomes, and technical risk across the portfolio.

Why You?

Basic Qualification

We are seeking professionals with the following required skills and qualifications to help us achieve our goals

  • 15 or more years of experience in software engineering and AI/ML engineering, including principal-level technical leadership across multiple teams or an enterprise.
  • Bachelor's degree in computer science, Software Engineering, or equivalent practical experience.
  • Demonstrated track record of setting engineering standards, reference architectures, or platforms that were adopted at organizational or enterprise scale.
  • Proven track record of taking AI ideas from sketch to working software and production at speed in customer-facing or embedded engineering roles, and leading delivery across a portfolio of business stakeholders.
  • Understanding of hands-on expertise in GenAI patterns, including agents, multi-agent orchestration, RAG, prompt engineering, evaluation, fine-tuning, and Model Context Protocol (MCP) integrations.
  • Enterprise-level expertise in AI, ML, and data science — classical ML, deep learning, LLMs and foundation models, statistical and causal inference, and MLOps at scale — sufficient to set modeling and evaluation standards across an organization.
  • Demonstrated daily use of AI coding agents, such as Claude Code, GitHub Copilot, or Databricks AI Assistant, as the primary mode of development, with a track record of architecting agentic delivery-automation workflows and delivery bot meshes and defining enterprise standards for their use.
  • Experience influencing and partnering with Director and VP-level business and technology leaders.
  • Prior responsibility for mentoring Staff- and Senior-level engineers and shaping senior technical career paths.

Preferred Qualification

If you have the following characteristics, it would be a plus

  • Principal, Distinguished, or Head of Forward Deployed Engineering-level experience at an AI-native company (Anthropic, Palantir, OpenAI, or similar) or a hyperscaler.
  • Master's or PhD in Computer Science, Machine Learning, or a related quantitative field.

#GSK-LI


Skills

AI Frameworks, Algorithm Optimization, Artificial Neural Networks (ANNS), Computer Programming, Deep Learning, Feature Engineering, Google Cloud Platform (GCP) for Machine Learning, Machine Learning Algorithms, Machine Learning Operations, Microsoft Azure Data and AI, ML Frameworks, Model Evaluation, Model Training, Model Validation, Performance Optimizations, Software Development Life Cycle (SDLC)

• If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $205,425 to $342,375. The US salary ranges take into account a number of factors including work location within the US market, the candidate’s skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process.

Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees.

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale.

People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.

If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at - usrecruitment.adjustments@gsk.com

GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.

Important notice to Employment businesses/ Agencies

GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.

Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at https://openpaymentsdata.cms.gov/

How we rate this

Principal - Forward Deployed Engineer at GSK rates 68 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Prompt engineeringRAGAI agentsFine-tuningML OpsAI EvaluationAI SafetyOpenAI

Also common in forward deployed engineer jobs at this level

Pay

This job starts at
$205k
Typical forward deployed engineer job
$180k

This posting starts 14% above the typical forward deployed engineer job. See forward deployed engineer jobs

Questions you could be asked

  1. How do you structure and test a prompt to get consistent output from a language model?
  2. How would you design a retrieval step so the model answers from real data instead of guessing?
  3. How do you decide when an AI agent can act on its own versus asking for approval first?
  4. Walk me through fine-tuning a model: what data did you use, and how did you check the result?
  5. How do you monitor a model once it's live, and how do you know it needs retraining?

Adapt your resume

  • List these exact terms on your resume: Prompt engineering, RAG, AI agents, Fine-tuning, and ML Ops. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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